Abstract: A drug carrier with a property of crossing the blood-brain barrier comprises an extracellular vesicle with a human leukocyte antigen-G antibody on its surface. This carrier can serve as a pharmaceutical composition for promoting apoptosis of brain tumor cells, inhibiting growth of brain tumor cells, or reducing expression of O6-methylguanine-DNA methyltransferase (MGMT) in brain tumor cells. These effects contribute to the treatment of glioblastoma multiforme (GBM).

Abstract: The invention provides a display panel and a method for detecting the same, a display device and a storage medium. The display panel comprises a substrate having a display area; a plurality of pixel units disposed in the display area; a plurality of signal lines electrically connected to the plurality of pixel units to transmit driving signals to the plurality of pixel units; a charge coupling unit corresponding to at least a part of the plurality of signal lines for coupling the driving signals into potential signal; and a voltage detection unit electrically connected to the charge coupling unit for receiving the potential signal and determining the driving signals.

Abstract: A cell repair-promoting extracellular vesicle, formed by silicate-induced stem cell secretion, helps express anti-inflammatory, tissue regeneration, and cell repair indicator factors, accelerating cell growth in wound tissue and the wound repair process.

Abstract: Disclosed are devices and methods for detecting pulmonary function based on low-dose computed tomography (CT) images. The present disclosure provides a method of determining a pulmonary function based on low-dose CT chest images. The method includes receiving a plurality of chest images, the plurality of chest image generated by a low-dose CT method; determining a plurality of regions of interest (ROIs) within each chest image through an image processing model, the plurality of ROIs corresponding to five lung lobes; determining Tij descriptors for the j-th ROI of the i-th chest image, each descriptor associated with the radiodensity value of one or more pixels; and determining whether a pulmonary function of the respective lung lobe is normal or abnormal based on the descriptors.

Abstract: Disclosed are methods and devices of processing a low-dose computed tomography (CT) image. The present disclosure provides a method of processing a low-dose computed tomography (LDCT) image. The method includes receiving a first set of chest images, the first set of chest images generated by a low-dose CT method; determining a vertebral body region in each image of the first set of chest images; determining an anterior part within each vertebral body region; obtaining a first set of features from the anterior parts of the first set of chest images; selecting a second set of features from the first set of features; and determining whether a bone mineral density of the vertebral body regions is abnormal based on the second set of features.

Abstract: The present disclosure provides a method and an apparatus for predicting persistent post-concussive neuropsychiatric symptoms based on thalamocortical coherence. The method includes the following steps: receiving a first set of biomarkers of a plurality of thalamic sub-nuclei of a patient; calculating a first coherence matrix from the first set of biomarkers; and predicting a postconcussive symptom score of the patient for a given time through a machine learning-based predictive model based on the first coherence matrix.

Abstract: Disclosed are methods, devices and the non-transitory computer storage media of matching clinical trials. The present disclosure provides a method of matching clinical trials. The method comprises: obtaining a first data set from a pathology report; obtaining a second data set of a clinical trial; determining whether the first data set and the second data set are matched with respect to a first set of fields; determining a relevance value between the first data set and the second data set with respect to a second set of fields when the first data set and the second data set are matched with respect to the first set of fields; and determining the clinical trial as recommended when the relevance value exceeds a threshold.

Abstract: Disclosed are methods and devices of generating predicted brain images. The present disclosure provides a method of generating a predicted brain image. The method comprises: receiving a first brain image; encoding the first brain image to generate a latent vector; and decoding the latent vector and one or more conditional features to generate the predicted brain image. The first brain image is generated by a magnetic resonance imaging (MRI) method. The one or more conditional features include at least one of: an age in future, a gender, previous brain images, omics features, and medical history. The latent vector is multiplied by a first normal distribution.

Abstract: A printed circuit board (PCB) is disclosed. The PCB includes a substrate having a plurality of through holes, a plurality of thermally-conductive blocks disposed in the through holes respectively, bonding structures respectively disposed in each through holes, and a metal circuit formed on the substrate. Particularly, the thermally-conductive block is tightly attached to the inner wall of the through hole through the bonding structure. In brief, the bonding structure includes a metal block and metal layers coated on both surfaces of the metal block to replace the conventional adhesive layer made of epoxy resin to tightly fix the thermally-conductive block in the through hole.

Abstract: Disclosed are methods and devices of processing a low-dose computed tomography (CT) image. The present disclosure provides a method of processing a low-dose CT image. The method comprises: receiving a first chest image; receiving a first chest image; detecting at least one lung nodule in the first chest image; determining at least one lung nodule region of the first chest image based on the at least one lung nodule; and classifying the at least one lung nodule region based on a first set of radiomics features of the at least one lung nodule region of the first chest image to obtain a nodule score of the at least one lung nodule in the lung nodule region. The first chest image generated by a low-dose CT method.

Abstract: Disclosed are methods and devices of generating predicted brain images. The present disclosure provides a method of generating a predicted brain image. The method comprises: receiving a first brain image; encoding the first brain image to generate a latent vector; and decoding the latent vector and one or more conditional features to generate the predicted brain image. The first brain image is generated by a magnetic resonance imaging (MRI) method. The one or more conditional features include at least one of: an age in future, a gender, previous brain images, omics features, and medical history. The latent vector is multiplied by a first normal distribution.

Abstract: Methods and apparatus are provided for EPS fallback status report by the modem to the upper layers. In one embodiment, the mobile terminal (MT) initiates a 5G voice call, detects an EPSFB triggered by the wireless network, identifies one or more EPSFB status and sends one or more EPSFB status indicators to at least one upper layer based on the identified one or more EPSFB status. In one embodiment, the EPS fall back is a redirection procedure. In another embodiment, the EPS fallback is a handover procedure. In yet another embodiment, the one or more EPSFB status indictors comprising a redirection to EPS started indicator, a handover to EPS started indicator, a redirection to EPS failed indicator, a handover to EPS failed indicator, a redirection to EPS success indicator, and a handover to EPS success indicator. In one embodiment, the MT sends EPSFB status indicators using AT command.

Abstract: The invention relates to a method for determining ischemic status. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of diffusion magnitude due to the ischemic status from the magnetic resonance diffusion tensor matrices. The invention also relates to a method for assessing stroke onset time. The method comprises acquiring magnetic resonance diffusion tensor matrices and obtaining a relative decrease of pure anisotropy due to stroke from the magnetic resonance diffusion tensor matrices.

Abstract: The present disclosure relates to a method for detecting a mutation and a related non-transitory computer storage medium. Some embodiments of the present disclosure relate to a method for detecting a mutation. The method includes: receiving a computed tomography (CT) image of a lung; generating a first set of radiomics features based on the CT image through a first image processing model; determining a first region of the CT image through a segmentation model; generating a second set of radiomics features based on the first region of the CT image; and determining whether a mutation occurs based on the first and second sets of radiomics features through a classifier model.

Abstract: Disclosed are methods and the non-transitory computer storage media of extracting linguistic patterns and summarizing a pathology report thereof. The present disclosure provides a method of extracting key linguistic patterns from a pathology report. The method comprises: determining a confidence degree and a support degree between a linguistic term and a next linguistic term based on co-occurrences of the linguistic term and the next linguistic term; generating a set of candidate linguistic terms; generating a first set of linguistic patterns through performing random walks on the set of candidate linguistic terms; and determining the key linguistic patterns through removing redundant linguistic patterns from the first set of linguistic patterns.

Abstract: A method for predicting epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma is provided. The method utilizes a lung adenocarcinoma EGFR mutation classification model based on a deep learning model, and performs back-propagation training on the deep learning model by using whole-slide pathological images and corresponding pathological data. The trained lung adenocarcinoma EGFR mutation classification model can determine whether a to-be-classified slide-level image with lung adenocarcinoma features have EGFR mutations.

Abstract: A method for manufacturing a light-emitting device, includes: forming a semiconductor stack on a substrate, wherein the semiconductor stack includes a first semiconductor layer, a second semiconductor layer and an active region formed therebetween; removing portions of the semiconductor stack to form a plurality of mesas and exposing a part of the first semiconductor layer, wherein the part of the first semiconductor layer includes a first portion and a second portion; forming a plurality of trenches by removing the first portion of the part of the first semiconductor to exposing a top surface of the substrate and a side wall of the first semiconductor, wherein the plurality of trenches defining a plurality of light-emitting units in the semiconductor stack; wherein in a top view, the plurality of trenches includes a first trench extending along a first direction and a second trench extending along a second direction not parallel with the first trench; and wherein the second trench includes an end; forming co

Abstract: A head-mounted display device and a control method for an eye-tracking operation are provided. The head-mounted display device includes a frame, a track, a sensor and a controller. The track is disposed on a peripheral region of the frame. The sensor is disposed on the track, and is configured to capture a target image of a target area. The controller is coupled to the sensor, is configured to generate a control signal according to the target image, and adjust a position of the sensor on the peripheral region by moving the sensor according to the control signal.

Abstract: A head-mounted display device includes a body, an eye tracking module and a face gasket. The body has a first lens and a second lens corresponding to both eyes, and also has a first positioning portion. The eye tracking module is assembled to and electrically connected to the body and includes an outer frame, a first camera, a second camera, a first lens frame and a second lens frame. The outer frame has a second positioning portion. The second positioning portion is used for connecting with the first positioning portion, so that the outer frame is positioned on the body. The first lens frame and the second lens frame are movably arranged on the outer frame. The first lens frame is used for connecting the first lens. The second lens frame is used for connecting the second lens. The first camera is arranged on the first lens frame. The second camera is arranged on the second lens frame. The first camera and the second camera are used to shoot both eyes.

Abstract: A method for producing exosomes in a large-scale by using a cyclic tensile bioreactor to stimulate cells to release exosomes. In addition, the exosome having an anti-HLA-G protein specific for cancer is used as a delivery vehicle to deliver therapeutic agents for treating cancer.